Is p 0.032 significant?
Using this definition, a statistically significant finding requires a P-value of 0.05 or less when the power is at least 95%, and a P-value of 0.032 or less when the power is 60%.Is p-value of 0.033 significant?
A p-value less than 0.05 is typically considered to be statistically significant, in which case the null hypothesis should be rejected. A p-value greater than 0.05 means that deviation from the null hypothesis is not statistically significant, and the null hypothesis is not rejected.Is p-value of 0.021 significant?
The p-value is 0.021. Since the p-value (0.021) is smaller than the significant level (0.05); the decision is to reject the null hypothesis. Therefore, the result of the test is statistically significant.What does the value 0.031 represent?
Explanation: The value 0.031 represents the interest rate, which means the annual compounded interest rate is 3.1%.Statistical Significance, the Null Hypothesis and P-Values Defined & Explained in One Minute
Is 0.031 significant?
For our example, the P value (0.031) is less than the significance level (0.05), which indicates that our results are statistically significant.What does AP value of 0.031 mean?
So what does "p = 0.031" mean? It means that there is only a 3% probability of observing a difference of 45 mL in the average urine output between groups under the null hypothesis. Because this is a very small probability, we reject the null hypothesis.Is .032 statistically significant?
Using a statistical test, the p-value is determined to be 0.032. The p-value can be used to determine the statistical significance of the study. This p-value is less than the alpha, which is 0.05, rejecting the null hypothesis and making the result statistically significant.Is p 0.038 significant?
The P = 0.038 means that there is only a 3.8% chance that this observed difference between the groups occurred by chance (which is less than the traditional cut-off of 5%) and therefore, statistically significant.Is p 0.041 significant?
When power is higher than 96%, p-values between 0.04 and 0.05 become more likely under the null-hypothesis than under the alternative hypothesis. In such circumstances, it would make sense to say: “p = 0.041, which does not provide support for our hypothesis”.Is 0.03 p-value significant?
The p-value obtained from the data is judged against the alpha. If alpha=0.05 and p=0.03, then statistical significance is achieved. If alpha=0.01, and p=0.03, statistical significance is not achieved.Is p-value .037 significant?
The convention is that p-values less than 0.05 are statistically significant and p-values larger than 0.05 are not statistically significant. There is nothing magic about the 0.05 significance level. They are not the be-all and end-all of research.Is p-value 0.051 significant?
If p=0.051, then the result is “insignificant”, a mere “trend” in the data which is easily dismissed. However, if one data point is added causing a drop to p=0.049 then the result is suddenly, magically significant.Is p 0.033 significant?
Answer and Explanation:Given: the p-value is 0.033 and alpha is 0.05 (or 5% significance level). Alpha and the p-value are used to reject or not to reject the null hypothesis in the hypothesis testing method. Since the p-value (0.033) is less than the alpha value (0.05), the null hypothesis is rejected.